Harsh Jain Pincha

Business Development Executive

Hyderabad, Telangana, India4 yrs 11 mos experience

Key Highlights

Expert in high-frequency trading and quantitative analysis.
Strong foundation in machine learning and AI technologies.
Proven track record of developing profitable trading strategies.

Stackforce AI infers this person is a Fintech expert with strong quantitative analysis and machine learning skills.

Contact

Skills

Core Skills

High-frequency TradingMachine LearningStatistical ModelingAlgorithmic TradingData AnalysisNlp

Other Skills

AlgorithmsAlpha GenerationC++Data StructuresDeep LearningMarket MicrostructureMathematical ModelingPythonSQLScikit-learnTensorFlowspaCy

About

With a passion for data and a strong foundation in machine learning and engineering from IIT Hyderabad, I have transitioned to the financial world as a Quantitative Analyst. At Algoquant, I leverage cutting-edge AI technologies to innovate in financial markets and generate alpha through data-driven strategies. I bring to the table a combination of deep engineering expertise, advanced technical skills, mathematical and analytical acumen, and AI and ML mastery. I have hands-on experience in data analysis and machine learning, using tools like Python, Numpy, Pandas, Scikit-learn, TensorFlow, and Keras. I have also applied quantitative techniques to model and predict market trends, contributing to effective trading strategies. I am always looking to expand my knowledge and skills, and have completed relevant Coursera certifications in AI and ML. I am on a quest to merge my analytical skills with my passion for financial markets, aiming to excel as a trader. I am keen on opportunities that challenge me to grow and make a significant impact. I am open to connect with you and discuss further.

Experience

Findoc

Quantitative Trader

Jul 2025 – Present · 8 mos · Gurugram, Haryana, India · On-site

Algoquant

Quantitative Analyst

Sep 2022 – Apr 2025 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Designed, implemented, and managed profitable high-frequency market-making strategies (Index Options), gener- ating consistent P&L
Engineered and optimized a low-latency HFT framework in C++ handling real-time market data ingestion, order routing logic, risk management, and execution for index/stock options trading.
Developed predictive alphas from tick data (order book dynamics, trade flow, implied volatility, put-call parity).
Researched, developed, and backtested delta/gamma hedged portfolio strategies for stock options, employing
Kalman filters for online learning of model weights.
Developed core C++ components focusing on performance, stability, and efficient memory usage in a high-
throughput Linux environment.
Contributed to the full software development lifecycle (SDLC), including requirements analysis, system design,
coding, testing, and deployment support.
Leveraged Python for advanced statistical analysis, machine learning model development (regression, classification),
feature engineering from large tick datasets, and visualization of research findings.

High-Frequency TradingMarket MicrostructureStatistical ModelingMathematical ModelingAlpha GenerationC+++4

Dolat capital

Quantitative Analyst

Sep 2021 – Sep 2022 · 1 yr · Mumbai, Maharashtra, India · On-site

Spearheaded the analysis and optimization of algorithmic trading execution strategies, identifying and mitigating sources of slippage and latency.
Developed and implemented C++/Python algorithms for intelligent order placement leveraging real-time spread and liquidity analysis.
Automated order quantity adjustments based on dynamic market conditions and risk parameters.
Conducted in-depth post-trade analysis (TCA) leading to iterative strategy refinement and cost reduction.

C++PythonAlgorithmic TradingData Analysis

Reventics - a provider engagement company

Machine Learning Engineer

Jan 2021 – Sep 2021 · 8 mos · Hyderabad, Telangana, India · On-site

Developed and deployed an NLP-based classification algorithm (Python, Scikit-learn/spaCy) to categorize clinical
documents, resulting in a 3x increase in departmental revenue capture.

PythonNLPScikit-learnspaCyMachine Learning

Defence research and development organisation (drdo)

Research Intern

Jun 2018 – Jul 2018 · 1 mo · New Delhi Area, India

I was involved in the developing parts of an explosive detection system using photoacoustic spectroscopy.
Designed an acoustic amplifier for the incoming waves using COMSOL
Performed Data analysis on its performance.